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description Publicationkeyboard_double_arrow_right Project deliverable , Other literature type 2021Publisher:Zenodo Funded by:EC | Blue CloudEC| Blue CloudSchaap, Dick; Vera, Julia; Larkin, Kate; Pittonet, Sara; Meneses, Rita; Drago, Federico; Spagnoli, Francesca; Muscella, Silvana; Maudire, Gilbert; Nys, Cecile; Pagano, Pasquale; Ellenbroek, Anton; Cabrera, Patricia;As part of the EU H2020 Blue-Cloud project activities are undertaken for developing and deploying a Blue-Cloud cyber infrastructure with smart federation of multidisciplinary data repositories, analytical tools, and computing facilities. This infrastructure will facilitate exploration and demonstration of the potential of cloud based open science, supporting research for understanding and better managing the many aspects of ocean sustainability, ranging from sustainable fisheries to ecosystem health to pollution, in support of the EU Green Deal and also in connection with UN Decade of the Oceans and G7 Future of the Oceans initiatives. This document provides an initial version and guidance towards the delivery of a final Blue-Cloud Service Exploitation and Sustainability Plan for the Blue-Cloud assets. While these Blue-Cloud assets are still under development, the process of defining the way forward for their future exploitation after Project end (2022) will benefit from an early consideration and discussion, engaging all Project Partners. Also, additional input from external stakeholder dialogue and consultations as being undertaken in the framework of the Blue-Cloud Roadmap to 2030 development needs to be taken into account. The Roadmap analyses will provide recommendations for the future capitalization and further development of the results of the Blue-Cloud Project in the medium (2025) and long-term (2030). This document is the first release of the Blue-Cloud Service Exploitation and Sustainability Plan and it gives present understanding as well as will serve as guiding framework for further analyses, discussion, and identifying the key elements that will need to be addressed during the remainder of the Project with input and feedback from all Partners. This process should deliver the 2nd and final release of the Blue-Cloud Service Exploitation and Sustainability Plan by July 2022. The goal of the final Blue-Cloud Service Exploitation and Sustainability Plan is at one hand, to define an exploitation model and to secure with partners the operation and exploitation of the Blue-Cloud results in the 3 years following the project end, and on the other hand, to explore and pave the way to longer sustainability, supported by major stakeholders. For the latter there is clear synergy and interaction with the Blue-Cloud Roadmap 2030 development. Moreover, sustainability perspectives will motivate partners to ensure and commit to the planned short-term operation and exploitation. The path to definition of the Blue-Cloud sustainability model is a process founded on 3 main pillars, supported by the project outcomes and research results and obtained with a consortium-wide commitment: Pillar 1: problem/solution fit and vision/solution fit of the Blue-Cloud framework ��� demonstrating ability to solve needs of target end-users, moving up the MRL (Market Readiness Level) scale to show proof of traction. This pillar is equivalent to MRL 5 and 6 ("open beta with pipeline customers" and "market traction"). Pillar 2: demonstrating customer understanding of Blue-Cloud, gathering evidence of satisfaction through validation scoring and marketing evidence of concrete benefits gained (e.g. testimonials from pilots and their users; subsequently through the open pilot stream). Equivalent to MRL 7 ("proof of satisfaction: both for customers and within the team"). Pillar 3: Proof of scalability with evidence of satisfied market needs and evidence of willingness to cover resources needed for a post-project continuation of services. Equivalent to MRL8 ("proof of scalability") demonstrated through the Blue-Cloud joint exploitation plan. Throughout its duration, Blue-Cloud will seek for demonstration of early market traction, which it will subsequently transform into a business plan. For this purpose, the current workplan of the Blue-Cloud project includes not only scientific and technical developments on the planned Blue-Cloud services, but also extensive activities for marketing and promotion of the Blue-Cloud assets to all major stakeholders, from project partners, targeted users, and potential funders. This includes activities for evaluating the defined MRL through KPIs (Key Performance Indicators) on the market penetration and the fitness of the market model for establishing a stable position, demonstrating incremental growth and anticipated added-values and impacts. Therefore, this initial Blue-Cloud Service Exploitation and Sustainability Plan identifies and describes all elements which are considered relevant. Also, it identifies where further activities are needed to provide firm answers and decisions. The document starts with describing the overall methodology and process that have been followed to prepare this plan, making optimal use of the Horizon Result Booster (HRB) instrument of the EU and provided business consultancy services, while engaging all Blue-Cloud beneficiaries in the process. It continues with sketching the European marine data landscape and the foreseen position of the Blue-Cloud platform and its services. The overall aims and concept are formulated, and a description is given of the planned Blue-Cloud services, the so-called Key Exploitable Results (KER). Next, an initial market analysis is worked out, reporting on the results of a Joint Workshop with Blue-Cloud beneficiaries to draft a Lean Canvas Business Model, and identifying different Blue-Cloud stakeholders and their interest and potential benefits. This is followed by giving an overview of the Marketing Media Mix (MMM), an extensive portfolio of marketing and promotion activities, which is applied in the Blue-Cloud project, since its start, to reach out to potential stakeholders and to make them aware and informed about the Blue-Cloud developments and resulting services and to collect KPIs relevant for the three pillars (see above). The next chapter looks into the organization of management and operation of each of the planned Blue-Cloud services and the associated roles and Intellectual Property Rights (IPR) of beneficiaries. Although this is still premature, since the majority of Blue-Cloud services are under development, whereby the organisation of their exploitation is still to be determined. Next, categories of costs for the exploitation phase are explored, followed by assessing the expected added-values and impacts of the Blue-Cloud services for different stakeholders and considering ways for measuring these as KPIs. Overall, the Blue-Cloud philosophy is not to aim for commercial services, but for public services, which are valued and appreciated by authorities, such as EU and Member States as major stakeholders, in a positive balance. This requires achieving success towards potential users and collecting convincing evidence of usage and impacts (see three pillars above). Aligned with this, another interactive Joint Workshop with all Blue-Cloud beneficiaries was held to brainstorm about these added-values and impacts and ways for monitoring. Finally, a draft is given of the initial exploitation and sustainability strategy and a summary of actions, which need to be deployed in the remaining project period in order to provide further answers and insights. This initial Services Exploitation and Sustainability Plan makes use of a number of already available Blue-Cloud deliverables [1], [2], [3], and [4], and the insights that these provide. Also use is made of the discussions between Blue-Cloud WP6 core partners in their regular WP6 meetings. And a lot of synergy is found in the activities and discussions for formulating a Blue-Cloud Roadmap 2030 with ambitions for the medium and long term, and organising input and engagement from major stakeholders for a future upscaling and funding of the Blue-Cloud services, aiming for a long-term sustainability and expansion of the Blue-Cloud initiative, e.g. by means of a portfolio of EU funded projects and synergies with other projects and initiatives. Complementary, the Blue-Cloud exploitation and sustainability plan is aiming for making arrangements for securing the short term (3 years after the project) with an outlook to the medium term. For that reason, the Blue-Cloud Service Exploitation and Sustainability Plan aims for developing a set of agreements between the respective Blue Cloud operators, in which they will guarantee that each of the Blue-Cloud services will be kept operational and available for use by researchers for at least 3 years after the Blue-Cloud project end, under prevailing conditions. However, currently there are still a number of questions which need to be answered as part of planned project activities. These should give sufficient input for completing the exploitation and sustainability insights and upgrading this initial plan into a final plan, Deliverable D6.5, as planned later near the end of the Blue-Cloud project.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.6337840&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average 
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more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.6337840&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Project deliverable , Other literature type 2021Publisher:Zenodo Funded by:EC | Blue CloudEC| Blue CloudSchaap, Dick; Vera, Julia; Larkin, Kate; Pittonet, Sara; Meneses, Rita; Drago, Federico; Spagnoli, Francesca; Muscella, Silvana; Maudire, Gilbert; Nys, Cecile; Pagano, Pasquale; Ellenbroek, Anton; Cabrera, Patricia;As part of the EU H2020 Blue-Cloud project activities are undertaken for developing and deploying a Blue-Cloud cyber infrastructure with smart federation of multidisciplinary data repositories, analytical tools, and computing facilities. This infrastructure will facilitate exploration and demonstration of the potential of cloud based open science, supporting research for understanding and better managing the many aspects of ocean sustainability, ranging from sustainable fisheries to ecosystem health to pollution, in support of the EU Green Deal and also in connection with UN Decade of the Oceans and G7 Future of the Oceans initiatives. This document provides an initial version and guidance towards the delivery of a final Blue-Cloud Service Exploitation and Sustainability Plan for the Blue-Cloud assets. While these Blue-Cloud assets are still under development, the process of defining the way forward for their future exploitation after Project end (2022) will benefit from an early consideration and discussion, engaging all Project Partners. Also, additional input from external stakeholder dialogue and consultations as being undertaken in the framework of the Blue-Cloud Roadmap to 2030 development needs to be taken into account. The Roadmap analyses will provide recommendations for the future capitalization and further development of the results of the Blue-Cloud Project in the medium (2025) and long-term (2030). This document is the first release of the Blue-Cloud Service Exploitation and Sustainability Plan and it gives present understanding as well as will serve as guiding framework for further analyses, discussion, and identifying the key elements that will need to be addressed during the remainder of the Project with input and feedback from all Partners. This process should deliver the 2nd and final release of the Blue-Cloud Service Exploitation and Sustainability Plan by July 2022. The goal of the final Blue-Cloud Service Exploitation and Sustainability Plan is at one hand, to define an exploitation model and to secure with partners the operation and exploitation of the Blue-Cloud results in the 3 years following the project end, and on the other hand, to explore and pave the way to longer sustainability, supported by major stakeholders. For the latter there is clear synergy and interaction with the Blue-Cloud Roadmap 2030 development. Moreover, sustainability perspectives will motivate partners to ensure and commit to the planned short-term operation and exploitation. The path to definition of the Blue-Cloud sustainability model is a process founded on 3 main pillars, supported by the project outcomes and research results and obtained with a consortium-wide commitment: Pillar 1: problem/solution fit and vision/solution fit of the Blue-Cloud framework ��� demonstrating ability to solve needs of target end-users, moving up the MRL (Market Readiness Level) scale to show proof of traction. This pillar is equivalent to MRL 5 and 6 ("open beta with pipeline customers" and "market traction"). Pillar 2: demonstrating customer understanding of Blue-Cloud, gathering evidence of satisfaction through validation scoring and marketing evidence of concrete benefits gained (e.g. testimonials from pilots and their users; subsequently through the open pilot stream). Equivalent to MRL 7 ("proof of satisfaction: both for customers and within the team"). Pillar 3: Proof of scalability with evidence of satisfied market needs and evidence of willingness to cover resources needed for a post-project continuation of services. Equivalent to MRL8 ("proof of scalability") demonstrated through the Blue-Cloud joint exploitation plan. Throughout its duration, Blue-Cloud will seek for demonstration of early market traction, which it will subsequently transform into a business plan. For this purpose, the current workplan of the Blue-Cloud project includes not only scientific and technical developments on the planned Blue-Cloud services, but also extensive activities for marketing and promotion of the Blue-Cloud assets to all major stakeholders, from project partners, targeted users, and potential funders. This includes activities for evaluating the defined MRL through KPIs (Key Performance Indicators) on the market penetration and the fitness of the market model for establishing a stable position, demonstrating incremental growth and anticipated added-values and impacts. Therefore, this initial Blue-Cloud Service Exploitation and Sustainability Plan identifies and describes all elements which are considered relevant. Also, it identifies where further activities are needed to provide firm answers and decisions. The document starts with describing the overall methodology and process that have been followed to prepare this plan, making optimal use of the Horizon Result Booster (HRB) instrument of the EU and provided business consultancy services, while engaging all Blue-Cloud beneficiaries in the process. It continues with sketching the European marine data landscape and the foreseen position of the Blue-Cloud platform and its services. The overall aims and concept are formulated, and a description is given of the planned Blue-Cloud services, the so-called Key Exploitable Results (KER). Next, an initial market analysis is worked out, reporting on the results of a Joint Workshop with Blue-Cloud beneficiaries to draft a Lean Canvas Business Model, and identifying different Blue-Cloud stakeholders and their interest and potential benefits. This is followed by giving an overview of the Marketing Media Mix (MMM), an extensive portfolio of marketing and promotion activities, which is applied in the Blue-Cloud project, since its start, to reach out to potential stakeholders and to make them aware and informed about the Blue-Cloud developments and resulting services and to collect KPIs relevant for the three pillars (see above). The next chapter looks into the organization of management and operation of each of the planned Blue-Cloud services and the associated roles and Intellectual Property Rights (IPR) of beneficiaries. Although this is still premature, since the majority of Blue-Cloud services are under development, whereby the organisation of their exploitation is still to be determined. Next, categories of costs for the exploitation phase are explored, followed by assessing the expected added-values and impacts of the Blue-Cloud services for different stakeholders and considering ways for measuring these as KPIs. Overall, the Blue-Cloud philosophy is not to aim for commercial services, but for public services, which are valued and appreciated by authorities, such as EU and Member States as major stakeholders, in a positive balance. This requires achieving success towards potential users and collecting convincing evidence of usage and impacts (see three pillars above). Aligned with this, another interactive Joint Workshop with all Blue-Cloud beneficiaries was held to brainstorm about these added-values and impacts and ways for monitoring. Finally, a draft is given of the initial exploitation and sustainability strategy and a summary of actions, which need to be deployed in the remaining project period in order to provide further answers and insights. This initial Services Exploitation and Sustainability Plan makes use of a number of already available Blue-Cloud deliverables [1], [2], [3], and [4], and the insights that these provide. Also use is made of the discussions between Blue-Cloud WP6 core partners in their regular WP6 meetings. And a lot of synergy is found in the activities and discussions for formulating a Blue-Cloud Roadmap 2030 with ambitions for the medium and long term, and organising input and engagement from major stakeholders for a future upscaling and funding of the Blue-Cloud services, aiming for a long-term sustainability and expansion of the Blue-Cloud initiative, e.g. by means of a portfolio of EU funded projects and synergies with other projects and initiatives. Complementary, the Blue-Cloud exploitation and sustainability plan is aiming for making arrangements for securing the short term (3 years after the project) with an outlook to the medium term. For that reason, the Blue-Cloud Service Exploitation and Sustainability Plan aims for developing a set of agreements between the respective Blue Cloud operators, in which they will guarantee that each of the Blue-Cloud services will be kept operational and available for use by researchers for at least 3 years after the Blue-Cloud project end, under prevailing conditions. However, currently there are still a number of questions which need to be answered as part of planned project activities. These should give sufficient input for completing the exploitation and sustainability insights and upgrading this initial plan into a final plan, Deliverable D6.5, as planned later near the end of the Blue-Cloud project.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.6337840&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 9visibility views 9 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.6337840&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2018 ItalyPublisher:OGS., Trieste , Italia Funded by:EC | ENVRI PLUSEC| ENVRI PLUSAuthors: Coro G; Scarponi P; Pagano P;handle: 20.500.14243/351177
Many research communities in a great variety of fields are interested in accessing collections of reliable environmental data. These data are typically used in environmental monitoring systems, data processing workflows, ecological models, societal and economical analyses, etc. Research communities need to carry out their studies in a fast and efficient manner and thus require data to be well structured, well described, and possibly represented in standard formats that allow direct access and usage. In this context, reducing data preparation and pre-processing time is crucial. ARGO data have been long-used by marine science communities in global oceans observing systems. These data are collected using a large network of floats, monitored by the ARGO Information Center (AIC) and are sent to Global Data Assembly Centers (GDACs). The datasets are available for download on the official ARGO website, as Network Common Data Format (NetCDF) Point- feature files and CSV files through FTP sites and online tools. However, these formats present many challenges from a technical point of view, especially in terms of re-usability. Every dataset has dimension ranging from 5MB to 3GB and contains measurements in time of different physical parameters recorded at different locations. Every file corresponds to one month and the overall repository time-span ranges from January 1999 to today. An overall CSV repository is available where a JSON file stores metadata about the parameters, e.g. the unit of measure, the full name, the reliability of the measurement, etc. Although accessing this unique endpoint is convenient, every dataset is not a standalone object and requires continuously parsing the JSON file to be fully understood. Further, managing a 3GB CSV file can be memory demanding, especially for processes that need to combine this dataset with other data. In this paper, we present a workflow to convert ARGO observation data into a standard raster file. This workflow has been implemented in the context of a research e-Infrastructure with the aim to enhance the structure and re-usability of the ARGO data. We use an Open Science approach where all the standardized data are published in a Virtual Research Environment along with standardized metadata. The same conversion workflow is available as a Web service respecting the standard OGC Web Processing Service (WPS) and keeps track of the provenance of the data conversion process that allows reconstructing the processing history. This service was developed both to process all the historical ARGO data and to convert them as soon as new data are available. Our workflow transforms the ARGO unstructured data into NetCDF Grid-feature files.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=dedup_wf_002::c579b65ab652adb4dcf24533ed39af4f&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=dedup_wf_002::c579b65ab652adb4dcf24533ed39af4f&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2018 ItalyPublisher:OGS., Trieste , Italia Funded by:EC | ENVRI PLUSEC| ENVRI PLUSAuthors: Coro G; Scarponi P; Pagano P;handle: 20.500.14243/351177
Many research communities in a great variety of fields are interested in accessing collections of reliable environmental data. These data are typically used in environmental monitoring systems, data processing workflows, ecological models, societal and economical analyses, etc. Research communities need to carry out their studies in a fast and efficient manner and thus require data to be well structured, well described, and possibly represented in standard formats that allow direct access and usage. In this context, reducing data preparation and pre-processing time is crucial. ARGO data have been long-used by marine science communities in global oceans observing systems. These data are collected using a large network of floats, monitored by the ARGO Information Center (AIC) and are sent to Global Data Assembly Centers (GDACs). The datasets are available for download on the official ARGO website, as Network Common Data Format (NetCDF) Point- feature files and CSV files through FTP sites and online tools. However, these formats present many challenges from a technical point of view, especially in terms of re-usability. Every dataset has dimension ranging from 5MB to 3GB and contains measurements in time of different physical parameters recorded at different locations. Every file corresponds to one month and the overall repository time-span ranges from January 1999 to today. An overall CSV repository is available where a JSON file stores metadata about the parameters, e.g. the unit of measure, the full name, the reliability of the measurement, etc. Although accessing this unique endpoint is convenient, every dataset is not a standalone object and requires continuously parsing the JSON file to be fully understood. Further, managing a 3GB CSV file can be memory demanding, especially for processes that need to combine this dataset with other data. In this paper, we present a workflow to convert ARGO observation data into a standard raster file. This workflow has been implemented in the context of a research e-Infrastructure with the aim to enhance the structure and re-usability of the ARGO data. We use an Open Science approach where all the standardized data are published in a Virtual Research Environment along with standardized metadata. The same conversion workflow is available as a Web service respecting the standard OGC Web Processing Service (WPS) and keeps track of the provenance of the data conversion process that allows reconstructing the processing history. This service was developed both to process all the historical ARGO data and to convert them as soon as new data are available. Our workflow transforms the ARGO unstructured data into NetCDF Grid-feature files.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=dedup_wf_002::c579b65ab652adb4dcf24533ed39af4f&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=dedup_wf_002::c579b65ab652adb4dcf24533ed39af4f&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2014 ItalyTaconet M; Ellenbroek A; Caumont H; Garavelli S; Parker S; Castelli D; Pagano P; Bosio C; Zoppi F;handle: 20.500.14243/313720
The sustainable management of fisheries and conservation of marine living resources through the ecosystem approach is a societal issue of global dimension. More and more, data is needed to support evidence-based decision making and adaptive management, a challenge that no single institution or country can address in isolation. The European Union's programme for e-infrastructures and data infrastructures has been the pathway to integrating data services and tools in a seamless way, increasingly at large scale. As a data management infrastructure, iMarine (http://www.i-marine.eu) ensures that computational resources, specific tools, and data services are open to many different actors and complementary initiatives. With a long-term vision for providing the comprehensive data management solutions required to support the full policy cycle of the ecosystem approach to fisheries at a global scale, iMarine proposes a public partnership centered business model
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_____10978::a1d2d24dcf69ddfa9239ef6353859b0e&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_____10978::a1d2d24dcf69ddfa9239ef6353859b0e&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2014 ItalyTaconet M; Ellenbroek A; Caumont H; Garavelli S; Parker S; Castelli D; Pagano P; Bosio C; Zoppi F;handle: 20.500.14243/313720
The sustainable management of fisheries and conservation of marine living resources through the ecosystem approach is a societal issue of global dimension. More and more, data is needed to support evidence-based decision making and adaptive management, a challenge that no single institution or country can address in isolation. The European Union's programme for e-infrastructures and data infrastructures has been the pathway to integrating data services and tools in a seamless way, increasingly at large scale. As a data management infrastructure, iMarine (http://www.i-marine.eu) ensures that computational resources, specific tools, and data services are open to many different actors and complementary initiatives. With a long-term vision for providing the comprehensive data management solutions required to support the full policy cycle of the ecosystem approach to fisheries at a global scale, iMarine proposes a public partnership centered business model
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_____10978::a1d2d24dcf69ddfa9239ef6353859b0e&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_____10978::a1d2d24dcf69ddfa9239ef6353859b0e&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2015 France, ItalyPublisher:Informa UK Limited Funded by:EC | GEOTHERMAL ERA NET, EC | IMARINEEC| GEOTHERMAL ERA NET ,EC| IMARINETrumpy E; Coro G; Manzella A; Pagano P; Castelli D; Calcagno P; Nador A; Bragasson T; Grellet S; Siddiqi G;handle: 20.500.14243/290366
Geothermal data are published using different IT services, formats and content representations, and can refer to both regional and global scale information. Geothermal stakeholders search for information with different aims. E-Infrastructures are collaborative platforms that address this diversity of aims and data representations. In this paper, we present a prototype for a European Geothermal Information Platform that uses INSPIRE recommendations and an e-Infrastructure (D4Science) to collect, aggregate and share data sets from different European data contributors, thus enabling stakeholders to retrieve and process a large amount of data. Our system merges segmented and national realities into one common framework. We demonstrate our approach by describing a platform that collects data from Italian, French, Hungarian, Swiss and Icelandic geothermal data providers.
International Journa... arrow_drop_down INRIA a CCSD electronic archive serverArticle . 2015Data sources: INRIA a CCSD electronic archive serveradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/17538947.2015.1073378&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.euAccess Routesgold 4 citations 4 popularity Average influence Average impulse Average Powered by BIP!more_vert International Journa... arrow_drop_down INRIA a CCSD electronic archive serverArticle . 2015Data sources: INRIA a CCSD electronic archive serveradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/17538947.2015.1073378&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2015 France, ItalyPublisher:Informa UK Limited Funded by:EC | GEOTHERMAL ERA NET, EC | IMARINEEC| GEOTHERMAL ERA NET ,EC| IMARINETrumpy E; Coro G; Manzella A; Pagano P; Castelli D; Calcagno P; Nador A; Bragasson T; Grellet S; Siddiqi G;handle: 20.500.14243/290366
Geothermal data are published using different IT services, formats and content representations, and can refer to both regional and global scale information. Geothermal stakeholders search for information with different aims. E-Infrastructures are collaborative platforms that address this diversity of aims and data representations. In this paper, we present a prototype for a European Geothermal Information Platform that uses INSPIRE recommendations and an e-Infrastructure (D4Science) to collect, aggregate and share data sets from different European data contributors, thus enabling stakeholders to retrieve and process a large amount of data. Our system merges segmented and national realities into one common framework. We demonstrate our approach by describing a platform that collects data from Italian, French, Hungarian, Swiss and Icelandic geothermal data providers.
International Journa... arrow_drop_down INRIA a CCSD electronic archive serverArticle . 2015Data sources: INRIA a CCSD electronic archive serveradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/17538947.2015.1073378&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.euAccess Routesgold 4 citations 4 popularity Average influence Average impulse Average Powered by BIP!more_vert International Journa... arrow_drop_down INRIA a CCSD electronic archive serverArticle . 2015Data sources: INRIA a CCSD electronic archive serveradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/17538947.2015.1073378&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Project deliverable , Other literature type 2022Publisher:Zenodo Funded by:EC | Blue CloudEC| Blue CloudVera, Julia; Larkin, Kate; Delaney, Conor; Tonné, Nathalie; Cisternino, Stefano; Calewaert, Jan-Bart; Pittonet, Sara; Drago, Federico; Schaap, Dick M.A.; Pagano, Pasquale; Obaton, Dominique; Ellenbroek, Anton; Cabrera, Patricia; Drudi, Massimiliano;The Blue-Cloud project has piloted a digital platform and services showcasing how web-based Open Science can enhance the marine knowledge value chain in support of greater societal objectives, namely those seeking to address Ocean challenges and opportunities associated with the delivery of the EU Green Deal and UN Agenda 2030. It has proved how providing researchers with cloud-based analytical tools and computing resources, coupled with access to marine data openly available across different, existing European data services and research infrastructures, can shorten the research-to-innovation cycle, enabling them to harness artificial intelligence (AI) to improve the transformation of marine data to products, progress more efficient modelling of ocean variables, support environmental analytical data services, inspire and accelerate community-driven innovation and collaborate at a global scale. Blue-Cloud has further showcased the specific applications that these improved capabilities can deliver, advancing solutions towards e.g., monitoring biodiversity; predicting changes in ecosystems; producing marine environmental indicators; or managing fisheries and aquaculture. Blue-Cloud Vision 2030 "To contribute to a European cloud-based knowledge system that provides access to a diverse and dynamic portfolio of analytical, prediction & visualisation capabilities underpinned by seamless access to a wealth of FAIR, transdisciplinary Ocean & freshwater observation data, enabling Open Science to deliver knowledge -including hindcast & forecast simulations-, and to drive innovation -notably through artificial intelligence-, science-based policies and public awareness for a safe, healthy and sustainably productive Ocean, in support of the EU Green Deal & UN Agenda 2030". Building on its results and looking ahead (2026-2030), Blue-Cloud's distinctive and specific contribution to the marine knowledge value chain will be geared at accelerating marine & freshwater data interoperability and improving data modelling and Big Data analytics through collaborative, cloud-based Open Science (Blue-Cloud's Mission 2030). Blue-Cloud will evolve as a key component of Europe's FAIR marine digital knowledge ecosystem, providing a flagship community of practice and incubator for data analysis and modelling methods in support of applied research of the ocean, European seas, coastal and inland waters. It will contribute to the successful evolution of the (digital) marine knowledge system required to support the EU Green Deal and the UN Agenda 2030, namely becoming a key link in: Making ocean & freshwater digital commons accessible to the wider scientific community via EOSC: Blue-Cloud will offer its interoperable data framework to bridge the gap with EOSC, supporting the FAIRification of marine & freshwater data and facilitating multidisciplinary innovation at a wider scale. Supporting the development of analytical services and/or Digital Twins that add value to the core European Digital Twin of the Ocean (EU DTO) to inform policy making in the delivery of societal objectives: Blue-Cloud will leverage its digital ecosystem and community of practice to deliver both user-driven and/or community-driven value at the intersection of the communities enabling the development of environmental (marine & freshwater related) data analytical services and/or digital twins, namely: the "Observation and Data Collection & Management" communities, the "Data Modelling" communities and the "e-infrastructures" that provide cloud storage and computing capabilities. To achieve its Mission, Blue-Cloud will strive to maximise value to primary, secondary & tertiary users: Primary users (marine researchers, computer scientists & software developers): It will improve its digital platform with user-driven upgrades (more functionalities, more computing power, more federated data); sustain a well-resourced customer support centre (including providing expertise on the application of artificial intelligence); and nurture community-building by providing users with training opportunities and incentives, aiming at offering access to these resources free-of-charge to researchers. Secondary users (EU and (inter)national environmental agencies; marine data & research infrastructures; EOSC; DestinE & EU DTO; Horizon Europe Mission Lighthouses & Blue Parks; Blue Economy SMEs & Industry): It will continue to evolve its DD&AS with new data repositories from current contributing infrastructures and from new infrastructures to further bridge their gap with EOSC; set up a DTO Task Force to make Blue-Cloud resources easily portable and/or integrated into the future EU DTO; explore collaboration opportunities with other public and/or private initiatives seeking to develop digital twins to support the EU DTO and/or Blue-Economy undertakings, offering them a unique digital ecosystem to co-create, build and test the algorithms and models enabling the data streams and workflows required for their operation, together with an Open Science community of practice that can be leveraged for innovation; and engage with new marine and freshwater research projects and with Horizon Europe "Mission" platforms to identify needs and challenges of marine data users that could be addressed with new methods incubated in Blue-Cloud. Tertiary users (policy makers, funders, civil society organisations, citizens): Blue-Cloud will continue to steer innovation towards supporting strategic EU policy strategies and action (i.e., MSFD, WFD, Biodiversity and "Farm to Fork") and towards supporting international collaboration around global ocean observing and forecasting capabilities, with special attention to supporting the delivery of the UN Agenda 2030 SDGs 2, 13 and 14. It will closely monitor and engage with developments around the EU Green Deal Data Space (GDDS) to further identify challenges, opportunities and priority action areas where Blue-Cloud could contribute to accelerate progress. It will continue to support the development of user-friendly applications and interfaces that contribute to increasing the flow of citizen science data into the marine knowledge value chain and to bringing ocean science closer to citizens. Strategic Goals 2026-2030 and a comprehensive Action Plan have been designed to drive future developments towards delivering Blue-Cloud's Mission 2030, working around 5 strategic paths of action: Strategic Action Path 1: Sustain the flow of FAIR & open marine data into Blue-Cloud. Strategic Action Path 2: Trigger the development of innovative data analytics methods around priority environmental thematics to inspire and guide the Blue-Cloud community towards further evolving applications in support of key policy objectives. Strategic Action Path 3: (Further) Federate with key marine data, research and e-infrastructures and strategic initiatives (e.g., EOSC, EDITO-Infra) to enhance value to users. Strategic Action Path 4: (Further) Grow a thriving ocean open science community, leveraging skills, incentives and rewards and promoting wide dissemination of FAIR methods incubated in Blue-Cloud to boost innovation at a wider scale. Strategic Action Path 5: Connect and align with wider developments and other communities to contribute to a European and a global, international knowledge system in support of the EU Green Deal and the UN Agenda 2030. Delivering Blue-Cloud's Mission 2030 will require support from EU policy and funding frameworks, which will be needed not only to continue to evolve Blue-Cloud's efforts, but also to create a thriving context for the successful delivery of its overarching vision, which spans well beyond the scope of action of Blue-Cloud. The following table sums up the roadmap of actions that Blue-Cloud has laid out to deliver its Mission 2030, coupled with recommendations for policy actions that are considered critical to realise the full potential of web-based Open Science in the marine domain, paving the way for the successful delivery of the knowledge system required to advance research of Ocean, seas, coastal and inland waters in Europe and beyond.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.10067459&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.10067459&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Project deliverable , Other literature type 2022Publisher:Zenodo Funded by:EC | Blue CloudEC| Blue CloudVera, Julia; Larkin, Kate; Delaney, Conor; Tonné, Nathalie; Cisternino, Stefano; Calewaert, Jan-Bart; Pittonet, Sara; Drago, Federico; Schaap, Dick M.A.; Pagano, Pasquale; Obaton, Dominique; Ellenbroek, Anton; Cabrera, Patricia; Drudi, Massimiliano;The Blue-Cloud project has piloted a digital platform and services showcasing how web-based Open Science can enhance the marine knowledge value chain in support of greater societal objectives, namely those seeking to address Ocean challenges and opportunities associated with the delivery of the EU Green Deal and UN Agenda 2030. It has proved how providing researchers with cloud-based analytical tools and computing resources, coupled with access to marine data openly available across different, existing European data services and research infrastructures, can shorten the research-to-innovation cycle, enabling them to harness artificial intelligence (AI) to improve the transformation of marine data to products, progress more efficient modelling of ocean variables, support environmental analytical data services, inspire and accelerate community-driven innovation and collaborate at a global scale. Blue-Cloud has further showcased the specific applications that these improved capabilities can deliver, advancing solutions towards e.g., monitoring biodiversity; predicting changes in ecosystems; producing marine environmental indicators; or managing fisheries and aquaculture. Blue-Cloud Vision 2030 "To contribute to a European cloud-based knowledge system that provides access to a diverse and dynamic portfolio of analytical, prediction & visualisation capabilities underpinned by seamless access to a wealth of FAIR, transdisciplinary Ocean & freshwater observation data, enabling Open Science to deliver knowledge -including hindcast & forecast simulations-, and to drive innovation -notably through artificial intelligence-, science-based policies and public awareness for a safe, healthy and sustainably productive Ocean, in support of the EU Green Deal & UN Agenda 2030". Building on its results and looking ahead (2026-2030), Blue-Cloud's distinctive and specific contribution to the marine knowledge value chain will be geared at accelerating marine & freshwater data interoperability and improving data modelling and Big Data analytics through collaborative, cloud-based Open Science (Blue-Cloud's Mission 2030). Blue-Cloud will evolve as a key component of Europe's FAIR marine digital knowledge ecosystem, providing a flagship community of practice and incubator for data analysis and modelling methods in support of applied research of the ocean, European seas, coastal and inland waters. It will contribute to the successful evolution of the (digital) marine knowledge system required to support the EU Green Deal and the UN Agenda 2030, namely becoming a key link in: Making ocean & freshwater digital commons accessible to the wider scientific community via EOSC: Blue-Cloud will offer its interoperable data framework to bridge the gap with EOSC, supporting the FAIRification of marine & freshwater data and facilitating multidisciplinary innovation at a wider scale. Supporting the development of analytical services and/or Digital Twins that add value to the core European Digital Twin of the Ocean (EU DTO) to inform policy making in the delivery of societal objectives: Blue-Cloud will leverage its digital ecosystem and community of practice to deliver both user-driven and/or community-driven value at the intersection of the communities enabling the development of environmental (marine & freshwater related) data analytical services and/or digital twins, namely: the "Observation and Data Collection & Management" communities, the "Data Modelling" communities and the "e-infrastructures" that provide cloud storage and computing capabilities. To achieve its Mission, Blue-Cloud will strive to maximise value to primary, secondary & tertiary users: Primary users (marine researchers, computer scientists & software developers): It will improve its digital platform with user-driven upgrades (more functionalities, more computing power, more federated data); sustain a well-resourced customer support centre (including providing expertise on the application of artificial intelligence); and nurture community-building by providing users with training opportunities and incentives, aiming at offering access to these resources free-of-charge to researchers. Secondary users (EU and (inter)national environmental agencies; marine data & research infrastructures; EOSC; DestinE & EU DTO; Horizon Europe Mission Lighthouses & Blue Parks; Blue Economy SMEs & Industry): It will continue to evolve its DD&AS with new data repositories from current contributing infrastructures and from new infrastructures to further bridge their gap with EOSC; set up a DTO Task Force to make Blue-Cloud resources easily portable and/or integrated into the future EU DTO; explore collaboration opportunities with other public and/or private initiatives seeking to develop digital twins to support the EU DTO and/or Blue-Economy undertakings, offering them a unique digital ecosystem to co-create, build and test the algorithms and models enabling the data streams and workflows required for their operation, together with an Open Science community of practice that can be leveraged for innovation; and engage with new marine and freshwater research projects and with Horizon Europe "Mission" platforms to identify needs and challenges of marine data users that could be addressed with new methods incubated in Blue-Cloud. Tertiary users (policy makers, funders, civil society organisations, citizens): Blue-Cloud will continue to steer innovation towards supporting strategic EU policy strategies and action (i.e., MSFD, WFD, Biodiversity and "Farm to Fork") and towards supporting international collaboration around global ocean observing and forecasting capabilities, with special attention to supporting the delivery of the UN Agenda 2030 SDGs 2, 13 and 14. It will closely monitor and engage with developments around the EU Green Deal Data Space (GDDS) to further identify challenges, opportunities and priority action areas where Blue-Cloud could contribute to accelerate progress. It will continue to support the development of user-friendly applications and interfaces that contribute to increasing the flow of citizen science data into the marine knowledge value chain and to bringing ocean science closer to citizens. Strategic Goals 2026-2030 and a comprehensive Action Plan have been designed to drive future developments towards delivering Blue-Cloud's Mission 2030, working around 5 strategic paths of action: Strategic Action Path 1: Sustain the flow of FAIR & open marine data into Blue-Cloud. Strategic Action Path 2: Trigger the development of innovative data analytics methods around priority environmental thematics to inspire and guide the Blue-Cloud community towards further evolving applications in support of key policy objectives. Strategic Action Path 3: (Further) Federate with key marine data, research and e-infrastructures and strategic initiatives (e.g., EOSC, EDITO-Infra) to enhance value to users. Strategic Action Path 4: (Further) Grow a thriving ocean open science community, leveraging skills, incentives and rewards and promoting wide dissemination of FAIR methods incubated in Blue-Cloud to boost innovation at a wider scale. Strategic Action Path 5: Connect and align with wider developments and other communities to contribute to a European and a global, international knowledge system in support of the EU Green Deal and the UN Agenda 2030. Delivering Blue-Cloud's Mission 2030 will require support from EU policy and funding frameworks, which will be needed not only to continue to evolve Blue-Cloud's efforts, but also to create a thriving context for the successful delivery of its overarching vision, which spans well beyond the scope of action of Blue-Cloud. The following table sums up the roadmap of actions that Blue-Cloud has laid out to deliver its Mission 2030, coupled with recommendations for policy actions that are considered critical to realise the full potential of web-based Open Science in the marine domain, paving the way for the successful delivery of the knowledge system required to advance research of Ocean, seas, coastal and inland waters in Europe and beyond.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.10067459&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.10067459&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2018 ItalyPublisher:Informa UK Limited Funded by:EC | BlueBRIDGEEC| BlueBRIDGEAuthors: Coro G; Pagano P; Ellenbroek A;Forecasting environmental parameters in the distant future requires complex modelling and large computational resources. Due to the sensitivity and complexity of forecast models, long-term parameter forecasts (e.g. up to 2100) are uncommon and only produced by a few organisations, in heterogeneous formats and based on different assumptions of greenhouse gases emissions. However, data mining techniques can be used to coerce the data to a uniform time and spatial representation, which facilitates their use in many applications. In this paper, streams of big data coming from AquaMaps and NASA collections of 126 long-term forecasts of nine types of environmental parameters are processed through a cloud computing platform in order to (i) standardise and harmonise the data representations, (ii) produce intermediate scenarios and new informative parameters, and (iii) align all sets on a common time and spatial resolution. Time series cross-correlation applied to these aligned datasets reveals patterns of climate change and similarities between parameter trends in 10 marine areas. Our results highlight that (i) the Mediterranean Sea may have a standalone ‘response’ to climate change with respect to other areas, (ii) the Poles are most representative of global forecasted change, and (iii) the trends are generally alarming for most oceans.
IRIS Cnr arrow_drop_down International Journal of Digital EarthArticle . 2018 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/17538947.2018.1543365&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert IRIS Cnr arrow_drop_down International Journal of Digital EarthArticle . 2018 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/17538947.2018.1543365&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2018 ItalyPublisher:Informa UK Limited Funded by:EC | BlueBRIDGEEC| BlueBRIDGEAuthors: Coro G; Pagano P; Ellenbroek A;Forecasting environmental parameters in the distant future requires complex modelling and large computational resources. Due to the sensitivity and complexity of forecast models, long-term parameter forecasts (e.g. up to 2100) are uncommon and only produced by a few organisations, in heterogeneous formats and based on different assumptions of greenhouse gases emissions. However, data mining techniques can be used to coerce the data to a uniform time and spatial representation, which facilitates their use in many applications. In this paper, streams of big data coming from AquaMaps and NASA collections of 126 long-term forecasts of nine types of environmental parameters are processed through a cloud computing platform in order to (i) standardise and harmonise the data representations, (ii) produce intermediate scenarios and new informative parameters, and (iii) align all sets on a common time and spatial resolution. Time series cross-correlation applied to these aligned datasets reveals patterns of climate change and similarities between parameter trends in 10 marine areas. Our results highlight that (i) the Mediterranean Sea may have a standalone ‘response’ to climate change with respect to other areas, (ii) the Poles are most representative of global forecasted change, and (iii) the trends are generally alarming for most oceans.
IRIS Cnr arrow_drop_down International Journal of Digital EarthArticle . 2018 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/17538947.2018.1543365&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert IRIS Cnr arrow_drop_down International Journal of Digital EarthArticle . 2018 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/17538947.2018.1543365&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu
description Publicationkeyboard_double_arrow_right Project deliverable , Other literature type 2021Publisher:Zenodo Funded by:EC | Blue CloudEC| Blue CloudSchaap, Dick; Vera, Julia; Larkin, Kate; Pittonet, Sara; Meneses, Rita; Drago, Federico; Spagnoli, Francesca; Muscella, Silvana; Maudire, Gilbert; Nys, Cecile; Pagano, Pasquale; Ellenbroek, Anton; Cabrera, Patricia;As part of the EU H2020 Blue-Cloud project activities are undertaken for developing and deploying a Blue-Cloud cyber infrastructure with smart federation of multidisciplinary data repositories, analytical tools, and computing facilities. This infrastructure will facilitate exploration and demonstration of the potential of cloud based open science, supporting research for understanding and better managing the many aspects of ocean sustainability, ranging from sustainable fisheries to ecosystem health to pollution, in support of the EU Green Deal and also in connection with UN Decade of the Oceans and G7 Future of the Oceans initiatives. This document provides an initial version and guidance towards the delivery of a final Blue-Cloud Service Exploitation and Sustainability Plan for the Blue-Cloud assets. While these Blue-Cloud assets are still under development, the process of defining the way forward for their future exploitation after Project end (2022) will benefit from an early consideration and discussion, engaging all Project Partners. Also, additional input from external stakeholder dialogue and consultations as being undertaken in the framework of the Blue-Cloud Roadmap to 2030 development needs to be taken into account. The Roadmap analyses will provide recommendations for the future capitalization and further development of the results of the Blue-Cloud Project in the medium (2025) and long-term (2030). This document is the first release of the Blue-Cloud Service Exploitation and Sustainability Plan and it gives present understanding as well as will serve as guiding framework for further analyses, discussion, and identifying the key elements that will need to be addressed during the remainder of the Project with input and feedback from all Partners. This process should deliver the 2nd and final release of the Blue-Cloud Service Exploitation and Sustainability Plan by July 2022. The goal of the final Blue-Cloud Service Exploitation and Sustainability Plan is at one hand, to define an exploitation model and to secure with partners the operation and exploitation of the Blue-Cloud results in the 3 years following the project end, and on the other hand, to explore and pave the way to longer sustainability, supported by major stakeholders. For the latter there is clear synergy and interaction with the Blue-Cloud Roadmap 2030 development. Moreover, sustainability perspectives will motivate partners to ensure and commit to the planned short-term operation and exploitation. The path to definition of the Blue-Cloud sustainability model is a process founded on 3 main pillars, supported by the project outcomes and research results and obtained with a consortium-wide commitment: Pillar 1: problem/solution fit and vision/solution fit of the Blue-Cloud framework ��� demonstrating ability to solve needs of target end-users, moving up the MRL (Market Readiness Level) scale to show proof of traction. This pillar is equivalent to MRL 5 and 6 ("open beta with pipeline customers" and "market traction"). Pillar 2: demonstrating customer understanding of Blue-Cloud, gathering evidence of satisfaction through validation scoring and marketing evidence of concrete benefits gained (e.g. testimonials from pilots and their users; subsequently through the open pilot stream). Equivalent to MRL 7 ("proof of satisfaction: both for customers and within the team"). Pillar 3: Proof of scalability with evidence of satisfied market needs and evidence of willingness to cover resources needed for a post-project continuation of services. Equivalent to MRL8 ("proof of scalability") demonstrated through the Blue-Cloud joint exploitation plan. Throughout its duration, Blue-Cloud will seek for demonstration of early market traction, which it will subsequently transform into a business plan. For this purpose, the current workplan of the Blue-Cloud project includes not only scientific and technical developments on the planned Blue-Cloud services, but also extensive activities for marketing and promotion of the Blue-Cloud assets to all major stakeholders, from project partners, targeted users, and potential funders. This includes activities for evaluating the defined MRL through KPIs (Key Performance Indicators) on the market penetration and the fitness of the market model for establishing a stable position, demonstrating incremental growth and anticipated added-values and impacts. Therefore, this initial Blue-Cloud Service Exploitation and Sustainability Plan identifies and describes all elements which are considered relevant. Also, it identifies where further activities are needed to provide firm answers and decisions. The document starts with describing the overall methodology and process that have been followed to prepare this plan, making optimal use of the Horizon Result Booster (HRB) instrument of the EU and provided business consultancy services, while engaging all Blue-Cloud beneficiaries in the process. It continues with sketching the European marine data landscape and the foreseen position of the Blue-Cloud platform and its services. The overall aims and concept are formulated, and a description is given of the planned Blue-Cloud services, the so-called Key Exploitable Results (KER). Next, an initial market analysis is worked out, reporting on the results of a Joint Workshop with Blue-Cloud beneficiaries to draft a Lean Canvas Business Model, and identifying different Blue-Cloud stakeholders and their interest and potential benefits. This is followed by giving an overview of the Marketing Media Mix (MMM), an extensive portfolio of marketing and promotion activities, which is applied in the Blue-Cloud project, since its start, to reach out to potential stakeholders and to make them aware and informed about the Blue-Cloud developments and resulting services and to collect KPIs relevant for the three pillars (see above). The next chapter looks into the organization of management and operation of each of the planned Blue-Cloud services and the associated roles and Intellectual Property Rights (IPR) of beneficiaries. Although this is still premature, since the majority of Blue-Cloud services are under development, whereby the organisation of their exploitation is still to be determined. Next, categories of costs for the exploitation phase are explored, followed by assessing the expected added-values and impacts of the Blue-Cloud services for different stakeholders and considering ways for measuring these as KPIs. Overall, the Blue-Cloud philosophy is not to aim for commercial services, but for public services, which are valued and appreciated by authorities, such as EU and Member States as major stakeholders, in a positive balance. This requires achieving success towards potential users and collecting convincing evidence of usage and impacts (see three pillars above). Aligned with this, another interactive Joint Workshop with all Blue-Cloud beneficiaries was held to brainstorm about these added-values and impacts and ways for monitoring. Finally, a draft is given of the initial exploitation and sustainability strategy and a summary of actions, which need to be deployed in the remaining project period in order to provide further answers and insights. This initial Services Exploitation and Sustainability Plan makes use of a number of already available Blue-Cloud deliverables [1], [2], [3], and [4], and the insights that these provide. Also use is made of the discussions between Blue-Cloud WP6 core partners in their regular WP6 meetings. And a lot of synergy is found in the activities and discussions for formulating a Blue-Cloud Roadmap 2030 with ambitions for the medium and long term, and organising input and engagement from major stakeholders for a future upscaling and funding of the Blue-Cloud services, aiming for a long-term sustainability and expansion of the Blue-Cloud initiative, e.g. by means of a portfolio of EU funded projects and synergies with other projects and initiatives. Complementary, the Blue-Cloud exploitation and sustainability plan is aiming for making arrangements for securing the short term (3 years after the project) with an outlook to the medium term. For that reason, the Blue-Cloud Service Exploitation and Sustainability Plan aims for developing a set of agreements between the respective Blue Cloud operators, in which they will guarantee that each of the Blue-Cloud services will be kept operational and available for use by researchers for at least 3 years after the Blue-Cloud project end, under prevailing conditions. However, currently there are still a number of questions which need to be answered as part of planned project activities. These should give sufficient input for completing the exploitation and sustainability insights and upgrading this initial plan into a final plan, Deliverable D6.5, as planned later near the end of the Blue-Cloud project.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.6337840&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 9visibility views 9 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.6337840&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Project deliverable , Other literature type 2021Publisher:Zenodo Funded by:EC | Blue CloudEC| Blue CloudSchaap, Dick; Vera, Julia; Larkin, Kate; Pittonet, Sara; Meneses, Rita; Drago, Federico; Spagnoli, Francesca; Muscella, Silvana; Maudire, Gilbert; Nys, Cecile; Pagano, Pasquale; Ellenbroek, Anton; Cabrera, Patricia;As part of the EU H2020 Blue-Cloud project activities are undertaken for developing and deploying a Blue-Cloud cyber infrastructure with smart federation of multidisciplinary data repositories, analytical tools, and computing facilities. This infrastructure will facilitate exploration and demonstration of the potential of cloud based open science, supporting research for understanding and better managing the many aspects of ocean sustainability, ranging from sustainable fisheries to ecosystem health to pollution, in support of the EU Green Deal and also in connection with UN Decade of the Oceans and G7 Future of the Oceans initiatives. This document provides an initial version and guidance towards the delivery of a final Blue-Cloud Service Exploitation and Sustainability Plan for the Blue-Cloud assets. While these Blue-Cloud assets are still under development, the process of defining the way forward for their future exploitation after Project end (2022) will benefit from an early consideration and discussion, engaging all Project Partners. Also, additional input from external stakeholder dialogue and consultations as being undertaken in the framework of the Blue-Cloud Roadmap to 2030 development needs to be taken into account. The Roadmap analyses will provide recommendations for the future capitalization and further development of the results of the Blue-Cloud Project in the medium (2025) and long-term (2030). This document is the first release of the Blue-Cloud Service Exploitation and Sustainability Plan and it gives present understanding as well as will serve as guiding framework for further analyses, discussion, and identifying the key elements that will need to be addressed during the remainder of the Project with input and feedback from all Partners. This process should deliver the 2nd and final release of the Blue-Cloud Service Exploitation and Sustainability Plan by July 2022. The goal of the final Blue-Cloud Service Exploitation and Sustainability Plan is at one hand, to define an exploitation model and to secure with partners the operation and exploitation of the Blue-Cloud results in the 3 years following the project end, and on the other hand, to explore and pave the way to longer sustainability, supported by major stakeholders. For the latter there is clear synergy and interaction with the Blue-Cloud Roadmap 2030 development. Moreover, sustainability perspectives will motivate partners to ensure and commit to the planned short-term operation and exploitation. The path to definition of the Blue-Cloud sustainability model is a process founded on 3 main pillars, supported by the project outcomes and research results and obtained with a consortium-wide commitment: Pillar 1: problem/solution fit and vision/solution fit of the Blue-Cloud framework ��� demonstrating ability to solve needs of target end-users, moving up the MRL (Market Readiness Level) scale to show proof of traction. This pillar is equivalent to MRL 5 and 6 ("open beta with pipeline customers" and "market traction"). Pillar 2: demonstrating customer understanding of Blue-Cloud, gathering evidence of satisfaction through validation scoring and marketing evidence of concrete benefits gained (e.g. testimonials from pilots and their users; subsequently through the open pilot stream). Equivalent to MRL 7 ("proof of satisfaction: both for customers and within the team"). Pillar 3: Proof of scalability with evidence of satisfied market needs and evidence of willingness to cover resources needed for a post-project continuation of services. Equivalent to MRL8 ("proof of scalability") demonstrated through the Blue-Cloud joint exploitation plan. Throughout its duration, Blue-Cloud will seek for demonstration of early market traction, which it will subsequently transform into a business plan. For this purpose, the current workplan of the Blue-Cloud project includes not only scientific and technical developments on the planned Blue-Cloud services, but also extensive activities for marketing and promotion of the Blue-Cloud assets to all major stakeholders, from project partners, targeted users, and potential funders. This includes activities for evaluating the defined MRL through KPIs (Key Performance Indicators) on the market penetration and the fitness of the market model for establishing a stable position, demonstrating incremental growth and anticipated added-values and impacts. Therefore, this initial Blue-Cloud Service Exploitation and Sustainability Plan identifies and describes all elements which are considered relevant. Also, it identifies where further activities are needed to provide firm answers and decisions. The document starts with describing the overall methodology and process that have been followed to prepare this plan, making optimal use of the Horizon Result Booster (HRB) instrument of the EU and provided business consultancy services, while engaging all Blue-Cloud beneficiaries in the process. It continues with sketching the European marine data landscape and the foreseen position of the Blue-Cloud platform and its services. The overall aims and concept are formulated, and a description is given of the planned Blue-Cloud services, the so-called Key Exploitable Results (KER). Next, an initial market analysis is worked out, reporting on the results of a Joint Workshop with Blue-Cloud beneficiaries to draft a Lean Canvas Business Model, and identifying different Blue-Cloud stakeholders and their interest and potential benefits. This is followed by giving an overview of the Marketing Media Mix (MMM), an extensive portfolio of marketing and promotion activities, which is applied in the Blue-Cloud project, since its start, to reach out to potential stakeholders and to make them aware and informed about the Blue-Cloud developments and resulting services and to collect KPIs relevant for the three pillars (see above). The next chapter looks into the organization of management and operation of each of the planned Blue-Cloud services and the associated roles and Intellectual Property Rights (IPR) of beneficiaries. Although this is still premature, since the majority of Blue-Cloud services are under development, whereby the organisation of their exploitation is still to be determined. Next, categories of costs for the exploitation phase are explored, followed by assessing the expected added-values and impacts of the Blue-Cloud services for different stakeholders and considering ways for measuring these as KPIs. Overall, the Blue-Cloud philosophy is not to aim for commercial services, but for public services, which are valued and appreciated by authorities, such as EU and Member States as major stakeholders, in a positive balance. This requires achieving success towards potential users and collecting convincing evidence of usage and impacts (see three pillars above). Aligned with this, another interactive Joint Workshop with all Blue-Cloud beneficiaries was held to brainstorm about these added-values and impacts and ways for monitoring. Finally, a draft is given of the initial exploitation and sustainability strategy and a summary of actions, which need to be deployed in the remaining project period in order to provide further answers and insights. This initial Services Exploitation and Sustainability Plan makes use of a number of already available Blue-Cloud deliverables [1], [2], [3], and [4], and the insights that these provide. Also use is made of the discussions between Blue-Cloud WP6 core partners in their regular WP6 meetings. And a lot of synergy is found in the activities and discussions for formulating a Blue-Cloud Roadmap 2030 with ambitions for the medium and long term, and organising input and engagement from major stakeholders for a future upscaling and funding of the Blue-Cloud services, aiming for a long-term sustainability and expansion of the Blue-Cloud initiative, e.g. by means of a portfolio of EU funded projects and synergies with other projects and initiatives. Complementary, the Blue-Cloud exploitation and sustainability plan is aiming for making arrangements for securing the short term (3 years after the project) with an outlook to the medium term. For that reason, the Blue-Cloud Service Exploitation and Sustainability Plan aims for developing a set of agreements between the respective Blue Cloud operators, in which they will guarantee that each of the Blue-Cloud services will be kept operational and available for use by researchers for at least 3 years after the Blue-Cloud project end, under prevailing conditions. However, currently there are still a number of questions which need to be answered as part of planned project activities. These should give sufficient input for completing the exploitation and sustainability insights and upgrading this initial plan into a final plan, Deliverable D6.5, as planned later near the end of the Blue-Cloud project.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.6337840&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 9visibility views 9 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.6337840&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2018 ItalyPublisher:OGS., Trieste , Italia Funded by:EC | ENVRI PLUSEC| ENVRI PLUSAuthors: Coro G; Scarponi P; Pagano P;handle: 20.500.14243/351177
Many research communities in a great variety of fields are interested in accessing collections of reliable environmental data. These data are typically used in environmental monitoring systems, data processing workflows, ecological models, societal and economical analyses, etc. Research communities need to carry out their studies in a fast and efficient manner and thus require data to be well structured, well described, and possibly represented in standard formats that allow direct access and usage. In this context, reducing data preparation and pre-processing time is crucial. ARGO data have been long-used by marine science communities in global oceans observing systems. These data are collected using a large network of floats, monitored by the ARGO Information Center (AIC) and are sent to Global Data Assembly Centers (GDACs). The datasets are available for download on the official ARGO website, as Network Common Data Format (NetCDF) Point- feature files and CSV files through FTP sites and online tools. However, these formats present many challenges from a technical point of view, especially in terms of re-usability. Every dataset has dimension ranging from 5MB to 3GB and contains measurements in time of different physical parameters recorded at different locations. Every file corresponds to one month and the overall repository time-span ranges from January 1999 to today. An overall CSV repository is available where a JSON file stores metadata about the parameters, e.g. the unit of measure, the full name, the reliability of the measurement, etc. Although accessing this unique endpoint is convenient, every dataset is not a standalone object and requires continuously parsing the JSON file to be fully understood. Further, managing a 3GB CSV file can be memory demanding, especially for processes that need to combine this dataset with other data. In this paper, we present a workflow to convert ARGO observation data into a standard raster file. This workflow has been implemented in the context of a research e-Infrastructure with the aim to enhance the structure and re-usability of the ARGO data. We use an Open Science approach where all the standardized data are published in a Virtual Research Environment along with standardized metadata. The same conversion workflow is available as a Web service respecting the standard OGC Web Processing Service (WPS) and keeps track of the provenance of the data conversion process that allows reconstructing the processing history. This service was developed both to process all the historical ARGO data and to convert them as soon as new data are available. Our workflow transforms the ARGO unstructured data into NetCDF Grid-feature files.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=dedup_wf_002::c579b65ab652adb4dcf24533ed39af4f&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=dedup_wf_002::c579b65ab652adb4dcf24533ed39af4f&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2018 ItalyPublisher:OGS., Trieste , Italia Funded by:EC | ENVRI PLUSEC| ENVRI PLUSAuthors: Coro G; Scarponi P; Pagano P;handle: 20.500.14243/351177
Many research communities in a great variety of fields are interested in accessing collections of reliable environmental data. These data are typically used in environmental monitoring systems, data processing workflows, ecological models, societal and economical analyses, etc. Research communities need to carry out their studies in a fast and efficient manner and thus require data to be well structured, well described, and possibly represented in standard formats that allow direct access and usage. In this context, reducing data preparation and pre-processing time is crucial. ARGO data have been long-used by marine science communities in global oceans observing systems. These data are collected using a large network of floats, monitored by the ARGO Information Center (AIC) and are sent to Global Data Assembly Centers (GDACs). The datasets are available for download on the official ARGO website, as Network Common Data Format (NetCDF) Point- feature files and CSV files through FTP sites and online tools. However, these formats present many challenges from a technical point of view, especially in terms of re-usability. Every dataset has dimension ranging from 5MB to 3GB and contains measurements in time of different physical parameters recorded at different locations. Every file corresponds to one month and the overall repository time-span ranges from January 1999 to today. An overall CSV repository is available where a JSON file stores metadata about the parameters, e.g. the unit of measure, the full name, the reliability of the measurement, etc. Although accessing this unique endpoint is convenient, every dataset is not a standalone object and requires continuously parsing the JSON file to be fully understood. Further, managing a 3GB CSV file can be memory demanding, especially for processes that need to combine this dataset with other data. In this paper, we present a workflow to convert ARGO observation data into a standard raster file. This workflow has been implemented in the context of a research e-Infrastructure with the aim to enhance the structure and re-usability of the ARGO data. We use an Open Science approach where all the standardized data are published in a Virtual Research Environment along with standardized metadata. The same conversion workflow is available as a Web service respecting the standard OGC Web Processing Service (WPS) and keeps track of the provenance of the data conversion process that allows reconstructing the processing history. This service was developed both to process all the historical ARGO data and to convert them as soon as new data are available. Our workflow transforms the ARGO unstructured data into NetCDF Grid-feature files.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=dedup_wf_002::c579b65ab652adb4dcf24533ed39af4f&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=dedup_wf_002::c579b65ab652adb4dcf24533ed39af4f&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2014 ItalyTaconet M; Ellenbroek A; Caumont H; Garavelli S; Parker S; Castelli D; Pagano P; Bosio C; Zoppi F;handle: 20.500.14243/313720
The sustainable management of fisheries and conservation of marine living resources through the ecosystem approach is a societal issue of global dimension. More and more, data is needed to support evidence-based decision making and adaptive management, a challenge that no single institution or country can address in isolation. The European Union's programme for e-infrastructures and data infrastructures has been the pathway to integrating data services and tools in a seamless way, increasingly at large scale. As a data management infrastructure, iMarine (http://www.i-marine.eu) ensures that computational resources, specific tools, and data services are open to many different actors and complementary initiatives. With a long-term vision for providing the comprehensive data management solutions required to support the full policy cycle of the ecosystem approach to fisheries at a global scale, iMarine proposes a public partnership centered business model
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_____10978::a1d2d24dcf69ddfa9239ef6353859b0e&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_____10978::a1d2d24dcf69ddfa9239ef6353859b0e&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2014 ItalyTaconet M; Ellenbroek A; Caumont H; Garavelli S; Parker S; Castelli D; Pagano P; Bosio C; Zoppi F;handle: 20.500.14243/313720
The sustainable management of fisheries and conservation of marine living resources through the ecosystem approach is a societal issue of global dimension. More and more, data is needed to support evidence-based decision making and adaptive management, a challenge that no single institution or country can address in isolation. The European Union's programme for e-infrastructures and data infrastructures has been the pathway to integrating data services and tools in a seamless way, increasingly at large scale. As a data management infrastructure, iMarine (http://www.i-marine.eu) ensures that computational resources, specific tools, and data services are open to many different actors and complementary initiatives. With a long-term vision for providing the comprehensive data management solutions required to support the full policy cycle of the ecosystem approach to fisheries at a global scale, iMarine proposes a public partnership centered business model
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_____10978::a1d2d24dcf69ddfa9239ef6353859b0e&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_____10978::a1d2d24dcf69ddfa9239ef6353859b0e&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2015 France, ItalyPublisher:Informa UK Limited Funded by:EC | GEOTHERMAL ERA NET, EC | IMARINEEC| GEOTHERMAL ERA NET ,EC| IMARINETrumpy E; Coro G; Manzella A; Pagano P; Castelli D; Calcagno P; Nador A; Bragasson T; Grellet S; Siddiqi G;handle: 20.500.14243/290366
Geothermal data are published using different IT services, formats and content representations, and can refer to both regional and global scale information. Geothermal stakeholders search for information with different aims. E-Infrastructures are collaborative platforms that address this diversity of aims and data representations. In this paper, we present a prototype for a European Geothermal Information Platform that uses INSPIRE recommendations and an e-Infrastructure (D4Science) to collect, aggregate and share data sets from different European data contributors, thus enabling stakeholders to retrieve and process a large amount of data. Our system merges segmented and national realities into one common framework. We demonstrate our approach by describing a platform that collects data from Italian, French, Hungarian, Swiss and Icelandic geothermal data providers.
International Journa... arrow_drop_down INRIA a CCSD electronic archive serverArticle . 2015Data sources: INRIA a CCSD electronic archive serveradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/17538947.2015.1073378&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.euAccess Routesgold 4 citations 4 popularity Average influence Average impulse Average Powered by BIP!more_vert International Journa... arrow_drop_down INRIA a CCSD electronic archive serverArticle . 2015Data sources: INRIA a CCSD electronic archive serveradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/17538947.2015.1073378&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2015 France, ItalyPublisher:Informa UK Limited Funded by:EC | GEOTHERMAL ERA NET, EC | IMARINEEC| GEOTHERMAL ERA NET ,EC| IMARINETrumpy E; Coro G; Manzella A; Pagano P; Castelli D; Calcagno P; Nador A; Bragasson T; Grellet S; Siddiqi G;handle: 20.500.14243/290366
Geothermal data are published using different IT services, formats and content representations, and can refer to both regional and global scale information. Geothermal stakeholders search for information with different aims. E-Infrastructures are collaborative platforms that address this diversity of aims and data representations. In this paper, we present a prototype for a European Geothermal Information Platform that uses INSPIRE recommendations and an e-Infrastructure (D4Science) to collect, aggregate and share data sets from different European data contributors, thus enabling stakeholders to retrieve and process a large amount of data. Our system merges segmented and national realities into one common framework. We demonstrate our approach by describing a platform that collects data from Italian, French, Hungarian, Swiss and Icelandic geothermal data providers.
International Journa... arrow_drop_down INRIA a CCSD electronic archive serverArticle . 2015Data sources: INRIA a CCSD electronic archive serveradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/17538947.2015.1073378&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.euAccess Routesgold 4 citations 4 popularity Average influence Average impulse Average Powered by BIP!more_vert International Journa... arrow_drop_down INRIA a CCSD electronic archive serverArticle . 2015Data sources: INRIA a CCSD electronic archive serveradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/17538947.2015.1073378&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Project deliverable , Other literature type 2022Publisher:Zenodo Funded by:EC | Blue CloudEC| Blue CloudVera, Julia; Larkin, Kate; Delaney, Conor; Tonné, Nathalie; Cisternino, Stefano; Calewaert, Jan-Bart; Pittonet, Sara; Drago, Federico; Schaap, Dick M.A.; Pagano, Pasquale; Obaton, Dominique; Ellenbroek, Anton; Cabrera, Patricia; Drudi, Massimiliano;The Blue-Cloud project has piloted a digital platform and services showcasing how web-based Open Science can enhance the marine knowledge value chain in support of greater societal objectives, namely those seeking to address Ocean challenges and opportunities associated with the delivery of the EU Green Deal and UN Agenda 2030. It has proved how providing researchers with cloud-based analytical tools and computing resources, coupled with access to marine data openly available across different, existing European data services and research infrastructures, can shorten the research-to-innovation cycle, enabling them to harness artificial intelligence (AI) to improve the transformation of marine data to products, progress more efficient modelling of ocean variables, support environmental analytical data services, inspire and accelerate community-driven innovation and collaborate at a global scale. Blue-Cloud has further showcased the specific applications that these improved capabilities can deliver, advancing solutions towards e.g., monitoring biodiversity; predicting changes in ecosystems; producing marine environmental indicators; or managing fisheries and aquaculture. Blue-Cloud Vision 2030 "To contribute to a European cloud-based knowledge system that provides access to a diverse and dynamic portfolio of analytical, prediction & visualisation capabilities underpinned by seamless access to a wealth of FAIR, transdisciplinary Ocean & freshwater observation data, enabling Open Science to deliver knowledge -including hindcast & forecast simulations-, and to drive innovation -notably through artificial intelligence-, science-based policies and public awareness for a safe, healthy and sustainably productive Ocean, in support of the EU Green Deal & UN Agenda 2030". Building on its results and looking ahead (2026-2030), Blue-Cloud's distinctive and specific contribution to the marine knowledge value chain will be geared at accelerating marine & freshwater data interoperability and improving data modelling and Big Data analytics through collaborative, cloud-based Open Science (Blue-Cloud's Mission 2030). Blue-Cloud will evolve as a key component of Europe's FAIR marine digital knowledge ecosystem, providing a flagship community of practice and incubator for data analysis and modelling methods in support of applied research of the ocean, European seas, coastal and inland waters. It will contribute to the successful evolution of the (digital) marine knowledge system required to support the EU Green Deal and the UN Agenda 2030, namely becoming a key link in: Making ocean & freshwater digital commons accessible to the wider scientific community via EOSC: Blue-Cloud will offer its interoperable data framework to bridge the gap with EOSC, supporting the FAIRification of marine & freshwater data and facilitating multidisciplinary innovation at a wider scale. Supporting the development of analytical services and/or Digital Twins that add value to the core European Digital Twin of the Ocean (EU DTO) to inform policy making in the delivery of societal objectives: Blue-Cloud will leverage its digital ecosystem and community of practice to deliver both user-driven and/or community-driven value at the intersection of the communities enabling the development of environmental (marine & freshwater related) data analytical services and/or digital twins, namely: the "Observation and Data Collection & Management" communities, the "Data Modelling" communities and the "e-infrastructures" that provide cloud storage and computing capabilities. To achieve its Mission, Blue-Cloud will strive to maximise value to primary, secondary & tertiary users: Primary users (marine researchers, computer scientists & software developers): It will improve its digital platform with user-driven upgrades (more functionalities, more computing power, more federated data); sustain a well-resourced customer support centre (including providing expertise on the application of artificial intelligence); and nurture community-building by providing users with training opportunities and incentives, aiming at offering access to these resources free-of-charge to researchers. Secondary users (EU and (inter)national environmental agencies; marine data & research infrastructures; EOSC; DestinE & EU DTO; Horizon Europe Mission Lighthouses & Blue Parks; Blue Economy SMEs & Industry): It will continue to evolve its DD&AS with new data repositories from current contributing infrastructures and from new infrastructures to further bridge their gap with EOSC; set up a DTO Task Force to make Blue-Cloud resources easily portable and/or integrated into the future EU DTO; explore collaboration opportunities with other public and/or private initiatives seeking to develop digital twins to support the EU DTO and/or Blue-Economy undertakings, offering them a unique digital ecosystem to co-create, build and test the algorithms and models enabling the data streams and workflows required for their operation, together with an Open Science community of practice that can be leveraged for innovation; and engage with new marine and freshwater research projects and with Horizon Europe "Mission" platforms to identify needs and challenges of marine data users that could be addressed with new methods incubated in Blue-Cloud. Tertiary users (policy makers, funders, civil society organisations, citizens): Blue-Cloud will continue to steer innovation towards supporting strategic EU policy strategies and action (i.e., MSFD, WFD, Biodiversity and "Farm to Fork") and towards supporting international collaboration around global ocean observing and forecasting capabilities, with special attention to supporting the delivery of the UN Agenda 2030 SDGs 2, 13 and 14. It will closely monitor and engage with developments around the EU Green Deal Data Space (GDDS) to further identify challenges, opportunities and priority action areas where Blue-Cloud could contribute to accelerate progress. It will continue to support the development of user-friendly applications and interfaces that contribute to increasing the flow of citizen science data into the marine knowledge value chain and to bringing ocean science closer to citizens. Strategic Goals 2026-2030 and a comprehensive Action Plan have been designed to drive future developments towards delivering Blue-Cloud's Mission 2030, working around 5 strategic paths of action: Strategic Action Path 1: Sustain the flow of FAIR & open marine data into Blue-Cloud. Strategic Action Path 2: Trigger the development of innovative data analytics methods around priority environmental thematics to inspire and guide the Blue-Cloud community towards further evolving applications in support of key policy objectives. Strategic Action Path 3: (Further) Federate with key marine data, research and e-infrastructures and strategic initiatives (e.g., EOSC, EDITO-Infra) to enhance value to users. Strategic Action Path 4: (Further) Grow a thriving ocean open science community, leveraging skills, incentives and rewards and promoting wide dissemination of FAIR methods incubated in Blue-Cloud to boost innovation at a wider scale. Strategic Action Path 5: Connect and align with wider developments and other communities to contribute to a European and a global, international knowledge system in support of the EU Green Deal and the UN Agenda 2030. Delivering Blue-Cloud's Mission 2030 will require support from EU policy and funding frameworks, which will be needed not only to continue to evolve Blue-Cloud's efforts, but also to create a thriving context for the successful delivery of its overarching vision, which spans well beyond the scope of action of Blue-Cloud. The following table sums up the roadmap of actions that Blue-Cloud has laid out to deliver its Mission 2030, coupled with recommendations for policy actions that are considered critical to realise the full potential of web-based Open Science in the marine domain, paving the way for the successful delivery of the knowledge system required to advance research of Ocean, seas, coastal and inland waters in Europe and beyond.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.10067459&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.10067459&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Project deliverable , Other literature type 2022Publisher:Zenodo Funded by:EC | Blue CloudEC| Blue CloudVera, Julia; Larkin, Kate; Delaney, Conor; Tonné, Nathalie; Cisternino, Stefano; Calewaert, Jan-Bart; Pittonet, Sara; Drago, Federico; Schaap, Dick M.A.; Pagano, Pasquale; Obaton, Dominique; Ellenbroek, Anton; Cabrera, Patricia; Drudi, Massimiliano;The Blue-Cloud project has piloted a digital platform and services showcasing how web-based Open Science can enhance the marine knowledge value chain in support of greater societal objectives, namely those seeking to address Ocean challenges and opportunities associated with the delivery of the EU Green Deal and UN Agenda 2030. It has proved how providing researchers with cloud-based analytical tools and computing resources, coupled with access to marine data openly available across different, existing European data services and research infrastructures, can shorten the research-to-innovation cycle, enabling them to harness artificial intelligence (AI) to improve the transformation of marine data to products, progress more efficient modelling of ocean variables, support environmental analytical data services, inspire and accelerate community-driven innovation and collaborate at a global scale. Blue-Cloud has further showcased the specific applications that these improved capabilities can deliver, advancing solutions towards e.g., monitoring biodiversity; predicting changes in ecosystems; producing marine environmental indicators; or managing fisheries and aquaculture. Blue-Cloud Vision 2030 "To contribute to a European cloud-based knowledge system that provides access to a diverse and dynamic portfolio of analytical, prediction & visualisation capabilities underpinned by seamless access to a wealth of FAIR, transdisciplinary Ocean & freshwater observation data, enabling Open Science to deliver knowledge -including hindcast & forecast simulations-, and to drive innovation -notably through artificial intelligence-, science-based policies and public awareness for a safe, healthy and sustainably productive Ocean, in support of the EU Green Deal & UN Agenda 2030". Building on its results and looking ahead (2026-2030), Blue-Cloud's distinctive and specific contribution to the marine knowledge value chain will be geared at accelerating marine & freshwater data interoperability and improving data modelling and Big Data analytics through collaborative, cloud-based Open Science (Blue-Cloud's Mission 2030). Blue-Cloud will evolve as a key component of Europe's FAIR marine digital knowledge ecosystem, providing a flagship community of practice and incubator for data analysis and modelling methods in support of applied research of the ocean, European seas, coastal and inland waters. It will contribute to the successful evolution of the (digital) marine knowledge system required to support the EU Green Deal and the UN Agenda 2030, namely becoming a key link in: Making ocean & freshwater digital commons accessible to the wider scientific community via EOSC: Blue-Cloud will offer its interoperable data framework to bridge the gap with EOSC, supporting the FAIRification of marine & freshwater data and facilitating multidisciplinary innovation at a wider scale. Supporting the development of analytical services and/or Digital Twins that add value to the core European Digital Twin of the Ocean (EU DTO) to inform policy making in the delivery of societal objectives: Blue-Cloud will leverage its digital ecosystem and community of practice to deliver both user-driven and/or community-driven value at the intersection of the communities enabling the development of environmental (marine & freshwater related) data analytical services and/or digital twins, namely: the "Observation and Data Collection & Management" communities, the "Data Modelling" communities and the "e-infrastructures" that provide cloud storage and computing capabilities. To achieve its Mission, Blue-Cloud will strive to maximise value to primary, secondary & tertiary users: Primary users (marine researchers, computer scientists & software developers): It will improve its digital platform with user-driven upgrades (more functionalities, more computing power, more federated data); sustain a well-resourced customer support centre (including providing expertise on the application of artificial intelligence); and nurture community-building by providing users with training opportunities and incentives, aiming at offering access to these resources free-of-charge to researchers. Secondary users (EU and (inter)national environmental agencies; marine data & research infrastructures; EOSC; DestinE & EU DTO; Horizon Europe Mission Lighthouses & Blue Parks; Blue Economy SMEs & Industry): It will continue to evolve its DD&AS with new data repositories from current contributing infrastructures and from new infrastructures to further bridge their gap with EOSC; set up a DTO Task Force to make Blue-Cloud resources easily portable and/or integrated into the future EU DTO; explore collaboration opportunities with other public and/or private initiatives seeking to develop digital twins to support the EU DTO and/or Blue-Economy undertakings, offering them a unique digital ecosystem to co-create, build and test the algorithms and models enabling the data streams and workflows required for their operation, together with an Open Science community of practice that can be leveraged for innovation; and engage with new marine and freshwater research projects and with Horizon Europe "Mission" platforms to identify needs and challenges of marine data users that could be addressed with new methods incubated in Blue-Cloud. Tertiary users (policy makers, funders, civil society organisations, citizens): Blue-Cloud will continue to steer innovation towards supporting strategic EU policy strategies and action (i.e., MSFD, WFD, Biodiversity and "Farm to Fork") and towards supporting international collaboration around global ocean observing and forecasting capabilities, with special attention to supporting the delivery of the UN Agenda 2030 SDGs 2, 13 and 14. It will closely monitor and engage with developments around the EU Green Deal Data Space (GDDS) to further identify challenges, opportunities and priority action areas where Blue-Cloud could contribute to accelerate progress. It will continue to support the development of user-friendly applications and interfaces that contribute to increasing the flow of citizen science data into the marine knowledge value chain and to bringing ocean science closer to citizens. Strategic Goals 2026-2030 and a comprehensive Action Plan have been designed to drive future developments towards delivering Blue-Cloud's Mission 2030, working around 5 strategic paths of action: Strategic Action Path 1: Sustain the flow of FAIR & open marine data into Blue-Cloud. Strategic Action Path 2: Trigger the development of innovative data analytics methods around priority environmental thematics to inspire and guide the Blue-Cloud community towards further evolving applications in support of key policy objectives. Strategic Action Path 3: (Further) Federate with key marine data, research and e-infrastructures and strategic initiatives (e.g., EOSC, EDITO-Infra) to enhance value to users. Strategic Action Path 4: (Further) Grow a thriving ocean open science community, leveraging skills, incentives and rewards and promoting wide dissemination of FAIR methods incubated in Blue-Cloud to boost innovation at a wider scale. Strategic Action Path 5: Connect and align with wider developments and other communities to contribute to a European and a global, international knowledge system in support of the EU Green Deal and the UN Agenda 2030. Delivering Blue-Cloud's Mission 2030 will require support from EU policy and funding frameworks, which will be needed not only to continue to evolve Blue-Cloud's efforts, but also to create a thriving context for the successful delivery of its overarching vision, which spans well beyond the scope of action of Blue-Cloud. The following table sums up the roadmap of actions that Blue-Cloud has laid out to deliver its Mission 2030, coupled with recommendations for policy actions that are considered critical to realise the full potential of web-based Open Science in the marine domain, paving the way for the successful delivery of the knowledge system required to advance research of Ocean, seas, coastal and inland waters in Europe and beyond.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.10067459&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.10067459&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2018 ItalyPublisher:Informa UK Limited Funded by:EC | BlueBRIDGEEC| BlueBRIDGEAuthors: Coro G; Pagano P; Ellenbroek A;Forecasting environmental parameters in the distant future requires complex modelling and large computational resources. Due to the sensitivity and complexity of forecast models, long-term parameter forecasts (e.g. up to 2100) are uncommon and only produced by a few organisations, in heterogeneous formats and based on different assumptions of greenhouse gases emissions. However, data mining techniques can be used to coerce the data to a uniform time and spatial representation, which facilitates their use in many applications. In this paper, streams of big data coming from AquaMaps and NASA collections of 126 long-term forecasts of nine types of environmental parameters are processed through a cloud computing platform in order to (i) standardise and harmonise the data representations, (ii) produce intermediate scenarios and new informative parameters, and (iii) align all sets on a common time and spatial resolution. Time series cross-correlation applied to these aligned datasets reveals patterns of climate change and similarities between parameter trends in 10 marine areas. Our results highlight that (i) the Mediterranean Sea may have a standalone ‘response’ to climate change with respect to other areas, (ii) the Poles are most representative of global forecasted change, and (iii) the trends are generally alarming for most oceans.
IRIS Cnr arrow_drop_down International Journal of Digital EarthArticle . 2018 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/17538947.2018.1543365&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert IRIS Cnr arrow_drop_down International Journal of Digital EarthArticle . 2018 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/17538947.2018.1543365&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2018 ItalyPublisher:Informa UK Limited Funded by:EC | BlueBRIDGEEC| BlueBRIDGEAuthors: Coro G; Pagano P; Ellenbroek A;Forecasting environmental parameters in the distant future requires complex modelling and large computational resources. Due to the sensitivity and complexity of forecast models, long-term parameter forecasts (e.g. up to 2100) are uncommon and only produced by a few organisations, in heterogeneous formats and based on different assumptions of greenhouse gases emissions. However, data mining techniques can be used to coerce the data to a uniform time and spatial representation, which facilitates their use in many applications. In this paper, streams of big data coming from AquaMaps and NASA collections of 126 long-term forecasts of nine types of environmental parameters are processed through a cloud computing platform in order to (i) standardise and harmonise the data representations, (ii) produce intermediate scenarios and new informative parameters, and (iii) align all sets on a common time and spatial resolution. Time series cross-correlation applied to these aligned datasets reveals patterns of climate change and similarities between parameter trends in 10 marine areas. Our results highlight that (i) the Mediterranean Sea may have a standalone ‘response’ to climate change with respect to other areas, (ii) the Poles are most representative of global forecasted change, and (iii) the trends are generally alarming for most oceans.
IRIS Cnr arrow_drop_down International Journal of Digital EarthArticle . 2018 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/17538947.2018.1543365&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert IRIS Cnr arrow_drop_down International Journal of Digital EarthArticle . 2018 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/17538947.2018.1543365&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu